| Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective | Jan 7, 2025 | Adversarial AttackDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers | May 21, 2024 | Deep Reinforcement LearningReinforcement Learning (RL) | —Unverified | 0 | 0 |
| Retrieval-Augmented Reinforcement Learning | Feb 17, 2022 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Return-Based Contrastive Representation Learning for Reinforcement Learning | Feb 22, 2021 | Atari GamesDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Revenue and Energy Efficiency-Driven Delay Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach | Oct 16, 2020 | Deep Reinforcement LearningEdge-computing | —Unverified | 0 | 0 |
| Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework | Feb 27, 2020 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning | Mar 22, 2022 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning | Jan 20, 2023 | continuous-controlContinuous Control | —Unverified | 0 | 0 |
| Revisiting Experience Replayable Conditions | Feb 15, 2024 | Deep Reinforcement LearningMetric Learning | —Unverified | 0 | 0 |
| Revisiting Space Mission Planning: A Reinforcement Learning-Guided Approach for Multi-Debris Rendezvous | Sep 25, 2024 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
